Fraud Prevention
A Unified Risk Scoring Engine for Any Transaction
Our scoring engine evaluates user behavior, device signals, transaction metadata, and third-party risk lists to provide a transparent score you can trust.
Everything the score sees
Pick a capability to see what it does in Ambriel.
MacBook · Chrome · knownClear
Emulator build · newFlag
One device · 14 accounts+50
Device Intelligence
Track devices and detect anomalies across sessions.
- Persistent device IDs
- Cross-session anomaly detection
- Linked-account discovery
Smarter risk decisions
Leverage real-time risk scoring to detect fraudulent behavior, financial crime, and high-risk transactions before they cause damage.
01
Data Ingestion
Collects data from your systems: payments, account actions, device IDs, IPs, emails, and more.
02
AI-Powered Scoring
Uses machine learning models and rules-based logic to assign a risk score to each entity or transaction.
03
Risk Categories
Categorizes risks such as money laundering, identity theft, bonus abuse, or suspicious transfers.
04
Compliance Ready
Provides explainable, auditable scoring designed to meet FATF and EU AMLD5/6 requirements.
Related products
Related use cases
Every event is evaluated against user behavior, device signals, transaction metadata and third-party risk lists — combined with machine-learning models and rules you write yourself.
Yes. The visual rule editor lets risk teams build complex, clever rules quickly, without waiting on engineering.
Every score breaks down into its contributing signals, giving compliance teams an auditable trail designed for FATF and EU AMLD5/6 requirements.
Scores are computed in real time, instantly, even under heavy transaction load.
Put scoring to work today
Write your first rule in minutes, not sprints.
A fintech launches a new credit product. Risk writes a dozen rules in an afternoon; the first fraud ring trips three of them before lunch.